Dynamic Vehicle Detection Region Adjustment for Lane Proximity
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Solution Overview
Problem
Existing vehicle periphery observation devices using radar struggle to detect solid objects, such as vehicles in adjacent lanes, due to fixed detection regions that do not adapt to changes in vehicle position relative to the traffic lane, leading to missed detections.
Innovation Solution
A solid object detection device that captures images of the traffic lane and adjusts the detection region size based on the vehicle-widthwise distance from the dividing line, enlarging the region outward as the distance increases to ensure accurate detection of adjacent vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the detection region is fixed based on side mirror angle, then the device complexity is reduced, but the measurement precision of solid object detection deteriorates when vehicle position changes
Solution Approach 1:
The detection region is made dynamic by adjusting its size based on the vehicle-widthwise distance from the dividing line. When the vehicle is closer to the dividing line, the detection region is enlarged to cover adjacent lanes; when farther away, the detection region is reduced to the necessary minimum area.
Solution Approach 2:
The size parameter of the detection region is changed according to the vehicle's lateral position parameter. The system detects the vehicle-widthwise distance from the dividing line and uses this parameter to dynamically adjust the detection region size, optimizing detection precision for different driving scenarios.
2Measurement precision
If the detection region is enlarged to cover adjacent lanes, then the measurement precision improves, but the area of detection region increases causing more false detections
Solution Approach 1:
The detection region size is dynamically adjusted based on real-time vehicle position relative to the dividing line. The region is enlarged only when necessary (when vehicle is close to dividing line) and reduced when not needed, minimizing false detections while maintaining detection precision.
Solution Approach 2:
The detection region is optimized locally for each driving condition. Instead of using a uniformly large detection region, the system applies different detection region sizes according to the specific lateral position of the vehicle, ensuring adequate coverage only where needed.
3Area of stationary object
If the detection region is reduced to minimize false detections, then the area of detection region decreases, but the measurement precision deteriorates when vehicle is near dividing line
Solution Approach 1:
The detection region size is dynamically adjusted based on real-time vehicle position relative to the dividing line. The region is enlarged only when necessary (when vehicle is close to dividing line) and reduced when not needed, minimizing false detections while maintaining detection precision.
4Ease of operation
If the detection region is fixed, then the ease of operation is improved, but the adaptability to different vehicle positions deteriorates
Solution Approach 1:
The system automatically adjusts the detection region size based on the vehicle's lateral position relative to the dividing line. The detection region adapts itself without requiring manual intervention, combining ease of operation with high adaptability to different driving scenarios.
Solution Approach 2:
The system uses feedback from the detected vehicle position (vehicle-widthwise distance from dividing line) to automatically adjust the detection region size. This closed-loop control ensures the detection region remains appropriate for the current driving condition without manual input.
Data Source
AI summary
A solid object detection device (1) for detecting solid objects in the periphery of a vehicle (V), the solid object detection device (1) comprising: a camera (10) for capturing an image including detection regions (A1, A2) set in adjacent traffic lanes to the rear of the vehicle (V); a solid object assessment unit (33) for assessing whether or not a solid object is present in the images of the detection regions (A1, A2) captured by the camera (10); a lateral position detection unit (34) for detecting a distance (Δy) between the vehicle position in the traffic lane traveled by the vehicle (V) and a dividing line that divides traffic lanes; a region setting unit (33b) for causing the size of the detection region (A1 or A2) positioned on the side where the dividing line is present to be enlarged by a greater amount correspondingly with respect to an increase in the distance (Δy) to the dividing line detected by the lateral position detection unit (34); and traffic lane change detection means (35) for detecting a traffic lane change made by the vehicle. When a traffic lane change made by the vehicle is detected, a smaller enlarged amount is used when enlarging the size of the predetermined region outward in the vehicle-width direction.